Abstract

In our study, the value of cholesterol biosynthesis is related to clinical analysis in 32 cancer forms in the GSEA database facility. We have a mutation between 25 CBRGs. In The Cancer Genome Atlas database, clear cell renal cell carcinoma (ccRCC, n = 539) was upregulated or downregulated in 22 out of 25 cases (n = 72) compared with normal kidney tissue. Then, using LASSO regression analysis, the survival model that is based on nine risk-related CBRGs (CYP51A1, HMGCR, HMGCS1, IDI1, FDFT1, SQLE, ACAT2, FDPS, and NSDHL) is established. ROC curves confirmed the good omen of the new survival mode, and the area under the curve is 0.72 (5 years) and 0.709 (10 years). High SQLE and ACAT2 expression and low NSDHL, FDPS, CYP51A1, FDFT1, HMGCS1, HMGCR, and IDI1 expression were closely related to patients with high-risk renal clear cell carcinoma. Two types of Cox regression, uni- and multivariate, were used to determine risk scores, age, staging, and grade as independent risk factors for prognosis in patients with clear cell renal cell carcinoma. The results showed the prediction model established by 9 selected CBRGs could predict the prognosis more accurately.

Highlights

  • High SQLE and ACAT2 expression and low NSDHL, FDPS, CYP51A1, FDFT1, HMGCS1, HMGCR, and IDI1 expression were closely related to patients with high-risk renal clear cell carcinoma

  • The incidence of kidney cancer has been on the rise worldwide in recent decades, kidney cancer accounted for 2.2% of all cancers diagnosed and 1.8% of all cancer deaths, according to the report from GLOBOCAN 2018 released by the International Agency for Research on Cancer (IARC) [1]

  • We especially focused our attention on the Clear cell renal cell carcinoma (ccRCC) and analyzed the expression of cholesterol biosynthesis-related genes (CBRGs) in KIRC patients

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Summary

Introduction

The incidence of kidney cancer has been on the rise worldwide in recent decades, kidney cancer accounted for 2.2% of all cancers diagnosed and 1.8% of all cancer deaths, according to the report from GLOBOCAN 2018 released by the International Agency for Research on Cancer (IARC) [1]. Cholesterol is mainly synthesized by the liver, and kidney cancer cells (including other tumor cells) need high levels of cholesterol to maintain their cell membrane biogenesis and other functional requirements compared to normal cells. We analyzed different expressions and mutations of cholesterol-related genes in 32 types of cancer systematically. We especially focused our attention on the ccRCC and analyzed the expression of cholesterol biosynthesis-related genes (CBRGs) in KIRC patients. Gene expression in cancer tissues is complex, so we summarized the coexpression relationships of these 32 genes in ccRCC patient tissues for researching the interactions between these multiple oncogenes. We used LASSO regression to determine the nine strongest prognostic markers and use the ROC curve to determine authenticity. The profiles of the expression of survival model CBRGs and clinicopathological features in low-risk and high-risk ccRCC patients. We establish a survival prediction model for ccRCC patients with R language

Materials and Methods
Results
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